Abstract: A data analysis device executes: acquiring time-series data including data of multiple items from an analysis target system; extracting data of at least, one first item from the time series data; calculating a feature of a temporal change of the data of the first item; extracting data of at least one second item from the time series data; calculating a feature of at least one of a relevance between the data of the first item and the data of the second item and a relevance between the data of the multiple second items; determining a model corresponding to the analysis target system on the basis of the feature of the temporal change and the change of the relevance; and setting the parameter in the analysis target system by using the parameter setting configuration of the model.

Abstract: A production management supporting system analyzes past record information including information showing, for each product loaded in a production line in which a plurality of steps are performed, an execution time of each of the steps on the basis of one or more attentional perspectives to detect, from among objects displayed on a diagram chart showing a production situation, display objects each satisfying one or more requirements associated with the one or more attentional perspectives. The production management supporting system performs accentuated display of at least one of the detected display objects.

Abstract: The method includes: identifying a type of a data item in which the data is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type; processing the data stored in the data item, using calculation designated for each type of the data item, and adding at least one or more new data items to the type of the data item storing the processed data; and calculating scores obtained by quantifying an amount of information displayed on a display screen for the data items including the added data items and arranging the data items on the basis of the scores.

Abstract: A solution is calculated using a tree search within a limited calculation time. A solution searching device that performs solution search using a search tree includes a search tree expanding unit that creates a node based on options until a stop condition is satisfied, an evaluation calculation unit that calculates an evaluation value for an leaf node using a first evaluation method, and a search solution determination unit that sequentially updates an evaluation value of an upper node based on an evaluation value of a lower node to determine a search solution.

Abstract: Disclosed is an information collection and display system in which a data generation device that generates site data and a transaction data accumulation unit that stores the site data are connected. The information collection and display system includes an association data accumulation unit that stores association data defining association of each of a plurality of pieces of information included in the site data; an association data search unit that searches for second information associated with first information included in the plurality of pieces of information, on the basis of the association data; and a user interface that displays a connection relation of the plurality of pieces of information associated by the association data.

Abstract: A data analysis device executes: acquiring time-series data including data of multiple items from an analysis target system; extracting data of at least, one first item from the time series data; calculating a feature of a temporal change of the data of the first item; extracting data of at least one second item from the time series data; calculating a feature of at least one of a relevance between the data of the first item and the data of the second item and a relevance between the data of the multiple second items; determining a model corresponding to the analysis target system on the basis of the feature of the temporal change and the change of the relevance; and setting the parameter in the analysis target system by using the parameter setting configuration of the model.

Abstract: The method includes: identifying a type of a data item in which the data is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type; processing the data stored in the data item, using calculation designated for each type of the data item, and adding at least one or more new data items to the type of the data item storing the processed data; and calculating scores obtained by quantifying an amount of information displayed on a display screen for the data items including the added data items and arranging the data items on the basis of the scores.

Abstract: A trial number and a failure number of a procedure extending to the plurality of devices configuring the mobile core network are acquired, a process trial number and a failure number of a received message in the single device are acquired, and the possibility of quality degradation of the devices configuring the mobile core network is calculated on the basis of the trial number and the failure numbers.

Abstract: An evaluation apparatus includes: a processor; a memory; and an interface configured to receive data output by devices. The processor being configured to: receive action indicators including indicative data representing at least one physical quantity measured by a device and indicative data representing at least one specific of an action performed by the device through the interface; store the received action indicators to the memory; presume the action of the device by finding a match through comparing the received action indicators with templates each specifying a combination of items of indicative data required to presume an action of the devices; extract indicative data required to evaluate the presumed action from the received action indicators; and evaluate quality of the presumed action based on the extracted indicative data.

Abstract: In a network system including a plurality of pieces of network equipment, detection of a piece of network equipment in which an abnormality occurs is made possible. In the network system including the pieces of network equipment, index values indicating operation states of the pieces of network equipment such as data-plane index values are acquired from the respective pieces of network equipment via communication media, high-frequency components of the acquired index values are calculated, and the abnormality in the piece of network equipment is detected based on a correlation of the high-frequency components.

Abstract: A trial number and a failure number of a procedure extending to the plurality of devices configuring the mobile core network are acquired, a process trial number and a failure number of a received message in the single device are acquired, and the possibility of quality degradation of the devices configuring the mobile core network is calculated on the basis of the trial number and the failure numbers.